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Galaxy And Mass Assembly (GAMA): Comparing Visually and Spectroscopically Identified Galaxy Merger Samples

Authors :
Desmons, Alice
Brough, Sarah
Martínez-Lombilla, Cristina
De Propris, Roberto
Holwerda, Benne
Sánchez, Ángel R. López
Publication Year :
2023

Abstract

We conduct a comparison of the merging galaxy populations detected by a sample of visual identification of tidal features around galaxies as well as spectroscopically-detected close pairs of galaxies to determine whether our method of selecting merging galaxies biases our understanding of galaxy interactions. Our volume-limited parent sample consists of 852 galaxies from the Galaxy And Mass Assembly (GAMA) survey in the redshift range $0.04 \leq z \leq 0.20$ and stellar mass range $9.50 \leq$ log$_{10}(M_{\star}/\rm{M}_{\odot})\leq 11.0$. We conduct our comparison using images from the Ultradeep layer of the Hyper Suprime-Cam Subaru Strategic Program (HSC-SSP) to visually-classify galaxies with tidal features and compare these to the galaxies in the GAMA spectroscopic close-pair sample. We identify 198 galaxies possessing tidal features, resulting in a tidal feature fraction $f_{\rm{tidal}}$ = 0.23 $\pm$ 0.02. We also identify 80 galaxies involved in close pairs, resulting in a close pair fraction $f_{\rm{pair}}$ = 0.09 $\pm$ 0.01. Upon comparison of our tidal feature and close pair samples we identify 42 galaxies that are present in both samples, yielding a fraction $f_{\rm{both}}$ = 0.05 $\pm$ 0.01. We find evidence to suggest that the sample of close pairs of galaxies is more likely to detect early-stage mergers, where two separate galaxies are still visible, and the tidal feature sample detects later-stage mergers, where only one galaxy nucleus remains visible. The overlap of the close pair and tidal feature samples likely detect intermediate-stage mergers. Our results are in good agreement with the predictions of cosmological hydrodynamical simulations regarding the populations of merging galaxies detected by close pair and tidal feature samples.<br />Comment: Accepted in MNRAS

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.2305.17894
Document Type :
Working Paper
Full Text :
https://doi.org/10.1093/mnras/stad1639